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Algorithm Theory Lab
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The lab studies algorithms for solving problems that can be represented by graphs or circuits.
AboutAbout the lab
Designing and analyzing efficient algorithms
The Algorithm Theory Lab studies unified methods for designing efficient algorithms, as well as new methods for analyzing algorithms.
An algorithm gives a procedure for solving a problem, and it is an important element not only of computer software but also of hardware.
In particular, the lab works on algorithms for solving discrete problems that are modeled by graphs, networks, or circuits.
The lab works in collaboration with the Large-Scale Data Mathematical Optimization Lab.
Key terms
- Algorithm
- A procedure of computation for solving a problem. Even for the same problem, the time needed for computation changes depending on which procedure is used.
- Graph
- A structure made up of a set of points (vertices) and a set of edges, each connecting two of the points.
- Discrete problem
- A problem whose objects can be counted one by one, such as the number of vertices or edges.
ResearchResearch themes
The lab models a wide range of problems that arise in practice as graph problems and develops efficient algorithms for them. It also studies unified methods for designing algorithms and new methods for analyzing them.
*Illustrative imageAlgorithms That Determine Computation Time
Even for the same computation, the algorithm used can make it fast or slow. A familiar example is AI for computer games. For board game AI in particular, many different algorithms have been considered, and research continues today.
*Illustrative imageGraph Coloring Algorithms
The lab models problems that arise in practice as graph problems. For one of them, the graph coloring problem, it develops algorithms and devises data structures to make them faster. This leads to solutions for problems such as scheduling.
MembersFaculty
The members of the Algorithm Theory Lab are faculty, doctoral and master's students, undergraduate students and research students, and collaborators.
- ProfessorXiao Zho
- ProfessorAkira Suzuki
- Associate ProfessorYuma Tamura
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “Network graph visualization showing images and users” Ecpp / CC BY-SA 4.0 (cropped)
- Algorithms That Determine Computation Time: “A game of chess” Asterisken / CC BY-SA 4.0 (cropped)
- Graph Coloring Algorithms: “Map coloring via graphs” Hmrussellmath / CC BY-SA 4.0 (cropped)
- Related lab (Information Systems Evaluation Lab): “Efficient and Secure Group Messaging Encryption (2020) - page 8” Tyler Weitzman / CC BY-SA 4.0 (cropped)
- Related lab (Intelligent Systems Science Lab): “Data center roof” Rsparks3 / CC0 (cropped)
- Related lab (Intelligent Control Systems Lab): “Stanford Cart and Hydraulic Arm ( )” Don DeBold from San Jose, CA, USA / CC BY 2.0 (cropped)
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